Title :
The Application of Improved Clonal Genetic Algorithm in Distributed Generation Planning
Author :
Yang Li ; Buxiang Zhou
Author_Institution :
Sch. of Electr. & Inf., Sichuan Univ., Chengdu, China
Abstract :
Based on detailed analysis of the distributed generations´(DG) characteristics in microgrid , the objective function and mathematical model are built and the improved Clonal Genetic Algorithm(CAG) is pointed out. Correctional operate and partial search are added to CGA in order to improve the search efficiency. Therefore, the optimal configuration of DG in microgrid is more rapid to obtain. Finally, the method is used in IEEE 39 bus system, and compared with other algorithms, by applying this algorithm to computer simulation, the result shows that the algorithm are feasible and available.
Keywords :
distributed power generation; genetic algorithms; mathematical analysis; power generation planning; CGA; IEEE 39 bus system; clonal genetic algorithm; computer simulation; distributed generation planning; mathematical model; microgrid; partial search; search efficiency; Algorithm design and analysis; Distributed power generation; Genetic algorithms; Optimization; Sociology; Statistics;
Conference_Titel :
Power and Energy Engineering Conference (APPEEC), 2012 Asia-Pacific
Conference_Location :
Shanghai
Print_ISBN :
978-1-4577-0545-8
DOI :
10.1109/APPEEC.2012.6307351
